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Transcriptional Signatures and Network-Based Approaches Identified Master Regulators Transcription Factors Involved in Experimental Periodontitis Pathogenesis

Periodontitis is a chronic inflammatory disease characterized by the progressive and irreversible destruction of the periodontium. Its aetiopathogenesis lies in the constant challenge of the dysbiotic biofilm, which triggers a deregulated immune response responsible for the disease phenotype. Althou...

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Autores principales: Vicencio, Emiliano, Nuñez-Belmar, Josefa, Cardenas, Juan P., Cortés, Bastian I., Martin, Alberto J. M., Maracaja-Coutinho, Vinicius, Rojas, Adolfo, Cafferata, Emilio A., González-Osuna, Luis, Vernal, Rolando, Cortez, Cristian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10573220/
https://www.ncbi.nlm.nih.gov/pubmed/37834287
http://dx.doi.org/10.3390/ijms241914835
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author Vicencio, Emiliano
Nuñez-Belmar, Josefa
Cardenas, Juan P.
Cortés, Bastian I.
Martin, Alberto J. M.
Maracaja-Coutinho, Vinicius
Rojas, Adolfo
Cafferata, Emilio A.
González-Osuna, Luis
Vernal, Rolando
Cortez, Cristian
author_facet Vicencio, Emiliano
Nuñez-Belmar, Josefa
Cardenas, Juan P.
Cortés, Bastian I.
Martin, Alberto J. M.
Maracaja-Coutinho, Vinicius
Rojas, Adolfo
Cafferata, Emilio A.
González-Osuna, Luis
Vernal, Rolando
Cortez, Cristian
author_sort Vicencio, Emiliano
collection PubMed
description Periodontitis is a chronic inflammatory disease characterized by the progressive and irreversible destruction of the periodontium. Its aetiopathogenesis lies in the constant challenge of the dysbiotic biofilm, which triggers a deregulated immune response responsible for the disease phenotype. Although the molecular mechanisms underlying periodontitis have been extensively studied, the regulatory mechanisms at the transcriptional level remain unclear. To generate transcriptomic data, we performed RNA shotgun sequencing of the oral mucosa of periodontitis-affected mice. Since genes are not expressed in isolation during pathological processes, we disclose here the complete repertoire of differentially expressed genes (DEG) and co-expressed modules to build Gene Regulatory Networks (GRNs) and identify the Master Transcriptional Regulators of periodontitis. The transcriptional changes revealed 366 protein-coding genes and 42 non-coding genes differentially expressed and enriched in the immune response. Furthermore, we found 13 co-expression modules with different representation degrees and gene expression levels. Our GRN comprises genes from 12 gene clusters, 166 nodes, of which 33 encode Transcription Factors, and 201 connections. Finally, using these strategies, 26 master regulators of periodontitis were identified. In conclusion, combining the transcriptomic analyses with the regulatory network construction represents a powerful and efficient strategy for identifying potential periodontitis-therapeutic targets.
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spelling pubmed-105732202023-10-14 Transcriptional Signatures and Network-Based Approaches Identified Master Regulators Transcription Factors Involved in Experimental Periodontitis Pathogenesis Vicencio, Emiliano Nuñez-Belmar, Josefa Cardenas, Juan P. Cortés, Bastian I. Martin, Alberto J. M. Maracaja-Coutinho, Vinicius Rojas, Adolfo Cafferata, Emilio A. González-Osuna, Luis Vernal, Rolando Cortez, Cristian Int J Mol Sci Article Periodontitis is a chronic inflammatory disease characterized by the progressive and irreversible destruction of the periodontium. Its aetiopathogenesis lies in the constant challenge of the dysbiotic biofilm, which triggers a deregulated immune response responsible for the disease phenotype. Although the molecular mechanisms underlying periodontitis have been extensively studied, the regulatory mechanisms at the transcriptional level remain unclear. To generate transcriptomic data, we performed RNA shotgun sequencing of the oral mucosa of periodontitis-affected mice. Since genes are not expressed in isolation during pathological processes, we disclose here the complete repertoire of differentially expressed genes (DEG) and co-expressed modules to build Gene Regulatory Networks (GRNs) and identify the Master Transcriptional Regulators of periodontitis. The transcriptional changes revealed 366 protein-coding genes and 42 non-coding genes differentially expressed and enriched in the immune response. Furthermore, we found 13 co-expression modules with different representation degrees and gene expression levels. Our GRN comprises genes from 12 gene clusters, 166 nodes, of which 33 encode Transcription Factors, and 201 connections. Finally, using these strategies, 26 master regulators of periodontitis were identified. In conclusion, combining the transcriptomic analyses with the regulatory network construction represents a powerful and efficient strategy for identifying potential periodontitis-therapeutic targets. MDPI 2023-10-02 /pmc/articles/PMC10573220/ /pubmed/37834287 http://dx.doi.org/10.3390/ijms241914835 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Vicencio, Emiliano
Nuñez-Belmar, Josefa
Cardenas, Juan P.
Cortés, Bastian I.
Martin, Alberto J. M.
Maracaja-Coutinho, Vinicius
Rojas, Adolfo
Cafferata, Emilio A.
González-Osuna, Luis
Vernal, Rolando
Cortez, Cristian
Transcriptional Signatures and Network-Based Approaches Identified Master Regulators Transcription Factors Involved in Experimental Periodontitis Pathogenesis
title Transcriptional Signatures and Network-Based Approaches Identified Master Regulators Transcription Factors Involved in Experimental Periodontitis Pathogenesis
title_full Transcriptional Signatures and Network-Based Approaches Identified Master Regulators Transcription Factors Involved in Experimental Periodontitis Pathogenesis
title_fullStr Transcriptional Signatures and Network-Based Approaches Identified Master Regulators Transcription Factors Involved in Experimental Periodontitis Pathogenesis
title_full_unstemmed Transcriptional Signatures and Network-Based Approaches Identified Master Regulators Transcription Factors Involved in Experimental Periodontitis Pathogenesis
title_short Transcriptional Signatures and Network-Based Approaches Identified Master Regulators Transcription Factors Involved in Experimental Periodontitis Pathogenesis
title_sort transcriptional signatures and network-based approaches identified master regulators transcription factors involved in experimental periodontitis pathogenesis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10573220/
https://www.ncbi.nlm.nih.gov/pubmed/37834287
http://dx.doi.org/10.3390/ijms241914835
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